Related Experiment Video
Updated: Nov 25, 2025
10:58
Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
Published on: January 2, 2011
10.4K
Principles of Effective Data Visualization
1Department of Oceanography and Coastal Sciences, Louisiana State University, Baton Rouge, LA 70803, USA.
Patterns (New York, N.Y.)
|December 18, 2020
Summary
Scientists need to improve scientific visuals for clear data communication. This guide offers ten principles for effective data visualization, enhancing the impact of research findings.
Area of Science:
- Scientific communication
- Data visualization
Background:
- Contemporary society relies heavily on visuals.
- Many scientific figures present information incorrectly or suboptimally.
Purpose of the Study:
- To provide guidance for authors to improve scientific visuals.
- To highlight the importance of effective data visualization in science.
Main Methods:
- Presentation of ten principles for creating effective scientific figures.
- Inclusion of both non-technical (message determination) and technical (color theory) aspects.
Main Results:
- Authors can improve their visual message by adhering to the presented principles.
- Effective scientific visuals are crucial for accurately conveying data stories.
Conclusions:
- Scientists must be aware of best practices in figure creation.
- Improved data visualization enhances scientific understanding and communication.
More Related Videos
Related Concept Videos
01:04Pie Chart
15.3K
A pie chart (or a pie graph) is a circular graphical chart or a pictorial representation of categorical data. It is divided into slices of pie each indicating numerical proportions. It is also used to show the relative sizes of data in a single chart.
In a pie chart, the central angle, the arc length of each slice, and the area are directly proportional to the quantity or percentage it represents. Some real-world examples that can be depicted using pie charts include marks obtained by students...
In a pie chart, the central angle, the arc length of each slice, and the area are directly proportional to the quantity or percentage it represents. Some real-world examples that can be depicted using pie charts include marks obtained by students...
15.3K
01:13Review and Preview
10.3K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
10.3K
01:10Review and Preview
8.2K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
8.2K
01:07Bar Graph
20.8K
A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
20.8K
01:07Multiple Bar Graph
8.6K
As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
8.6K
01:22Interpreting R Charts
214
R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
214